水头差压力转换提水技术研究

本文阐述了一项水能利用的新技术：通过密闭容器将水的落差转换成压力气体，再通过压力气体去压缩另一密闭容器内的水。进而实现提水的目的。实验、计算和分析显示，这是一种切实可行的提水新技术。     

SOME NEW ASPECT OF LYAPUNOV TYPE THEOREMS FOR STOCHASTIC DIFFERENCE EQUATIONS WITH CONTINUOUS TIME

Some new Lyapunov type theorems for stochastic difference equations with continuous time are proven. It is shown that these theorems simplify an application of Lyapunov functionals construction method.     

难选氧化锰矿的选别工艺特征

氧化锰矿的泥化现象一般较严重，有的矿石很容易在机械作用下碎裂泥化，并且锰在粗、细粒级中的含量差别较大，因此在选别过程中避免过碎、强搅拌、强擦洗，并利用合理的分级工序，往往能获得十分理想的选别指标。     

接地电阻对地电场观测的影响及克服方法

论述了测量电极的接地电阻对振幅和相位测量精度的影响规律，提出了克服接地电阻影响，提高野外观测精度的切实可行的方法和技术。     

升平气田产能预测方法

依据升平气田的试井资料，建立了气井产能与压差之间的二次项产能方程。运用此方程可以预测升平气田的单井产能，并且建立了压差平方与kh值相关的气田综合产能方程。当求得气田的平均kh值后，利用该方法可以求得气田的平均产能或生产压差。     

CXFTV2: A Fortran subroutine for the discrete least squares convex approximation

A Fortan subroutine calculates the least squares approximation to n data values containing random errors subject to non-negative second divided differences (convexity). The method employs a dual active set quadratic programming technique that allows several concavities of an iterate to be corrected simultaneously, which is a distinctive feature of this calculation. A B-spline representation of the iterates reduces each active set calculation to an unconstrained minimization with fewer variables that requires only O(n) computer operations. Details in these techniques including the data structure that establishes the implementation of the method are specified. Numerical testing on a variety of data sets indicates that the subroutine is particularly efficient, terminating after a small number of active set changes, the subroutine being suitable for large numbers of data. A numerical example and its output is provided to help the use of the software.     

橡胶挤出机平均温差分析与计算

从理论上推导挤出机平均温差的计算公式，并指出与一般换热器平均温差计算的异同。     

空气调节中加湿处理的方案选择--某商标编织车间的空调设计

本文针对散热量大 ,散湿量小并要求控制室内相对湿度的场所进行了空调方案的分析比较 ,由此选择了一种比较节能和节省投资的空调设计方案。     

An alternate method for using a visual discrimination model (VDM) to optimize soft-copy display image quality

Researchers have developed visual discrimination models (VDMs) that can predict a human observer's ability to detect a target object superposed on an image. These models incorporate sophisticated knowledge of the properties of the human visual system. In the predictive approach, termed conventional VDM usage, two input images with and without a target are analyzed by an algorithm that calculates a just-noticeable-difference (JND) index, which is a taken as a measure of the detectability of the target. A new method of using the VDM is described, termed channelized VDM, which involves finding the linear combination of the VDM-generated channels (which are not used in conventional VDM analysis) that has optimal classification ability between normal and abnormal images. The classification ability can be measured using receiver operating characteristic (ROC) or two alternative forced choice (2AFC) experiments, and in special cases they can also be predicted by signal detection theory (SDT) based model-observer methods. In this study simulated background and nodule containing regions were used to validate the new method. It was found that the channelized VDM predictions were in excellent qualitative agreement with human-observer validated SDT predictions. Either VDM method (conventional or channelized) has potential applicability to soft-copy display optimization. An advantage of any VDM-based approach is that complex effects, such as visual masking, are automatically accounted for, which effects are usually not included in SDT-based methods.